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Division 01 / 03 · VEXOCORE AI

Building intelligent
AI systems for the
future of business.

Automation, generative AI, custom AI applications, and a research practice — we help you put AI in production, then run it for you.

Talk to AI engineering →AI case studies
2022
Incorporated
3
Divisions, one team
Senior
Engineers only
Capabilities

Four things we build, in production, for a living.

Production-grade AI systems — not demos.

UserReconcile yesterday's open AR against the ledger.
AgentPulling 42 invoices, checking netsuite.gl_2026_04…
Toolnetsuite.query(date=2026-04-21) ✓
Agent3 mismatches found. Suggested journals drafted in /queue.
// 01 — AGENTS

Agent fleets that do the work.

Autonomous and human-in-the-loop agents for support, ops, sales, and engineering — with full audit trails.

Single-agent & multi-agent orchestration
Tool use, RAG, structured outputs
Online + offline evals, regression suites
vllm.serveGPU fleet
your-modelp50 latency
guardrails ✓per-token cost
// 02 — LLM INFRASTRUCTURE

The unglamorous layer beneath the magic.

Inference fabric, vector stores, eval harnesses, guardrails, observability, GPU orchestration.

Self-hosted open models in your VPC
Hybrid lexical + vector retrieval
Cost & latency budgets per route
// 03 — PREDICTIVE

Forecasting that survives reality.

Forecasting, anomaly detection, decision systems — trained on your data, not someone's benchmark.

Time-series, churn, LTV, demand
Causal & uplift modeling
Champion-challenger production
// 04 — APPLIED RESEARCH

The lab that ships.

Fine-tuning, distillation, multimodal pipelines — we return systems, not papers.

Domain-specific fine-tuning & LoRA
Vision, audio, document understanding
Edge / on-device deployment
Try our AI/ML capabilities

Live inference, no signup.

A small demo of what our AI/ML stack can do. Rate-limited so we can keep it free.

— ✱ CORE FEATURES

Built for speed & quality.

Everything you need to take an AI idea from prompt to production.

A bright, high-resolution 3D illustration of a cheerful cartoon of a girl character centred against a smooth blue background

Smart Prompt Suggestions

API/v1SDKRESTRPC

API Access & SDKs

Search in library

Project Library

— ✱ OUR APPROACH

Every AI project starts with a question, not a model. We dig into data, workflows, and people — then return a system that earns its place in production.

Explore more

Innovation×Vision.

— ✱ STRATEGY MEETS CRAFT

Every meaningful AI breakthrough begins where disciplined strategy meets remarkable creative vision. We operate at that crossroads — turning bold thinking into systems that ship.

— ✱ DESIGNED FOR DURABILITY

The best AI work emerges when curiosity meets conviction. Our process surfaces hidden opportunities and translates them into systems that hold up long after the first demo.

Registry · illustrative

What a model registry looks like. Your models, your namespace, your numbers.

We don't publish our customers' model names or latencies. The columns below show the shape of the registry we'd operate for you — category, customer-scoped traffic, latency budgets, deploy status.

ModelCategoryCustomersp50StatusUpdated
<your-llm>Foundational · LLM——Example—
<your-vision>Multimodal——Example—
<your-edge>Edge · distilled——Example—
<your-forecaster>Predictive——Example—
<your-router>Orchestration——Example—
<your-codex>Code · fine-tuned——Example—
How to engage

Three paths to AI in production.

⟡ Discover

AI Diagnostic

2-week structured assessment.

EngagementFrom $48K
Use-case prioritization workshop
Data & readiness audit
Build vs. buy recommendation
90-day roadmap & budget
Book diagnostic →
⟡ Build

AI Build Pod

Senior engineers, in a pod, shipping.

Per quarterFrom $220K
4–6 senior AI/ML/platform engineers
Pod lead + product partner
Two-week shipping cadence
Production handover every quarter
SOC 2 / HIPAA / GDPR by default
Start a build pod →
⟡ Operate

AI Run Mode

SLA-backed managed AI ops.

Per monthFrom $32K
24/7 model monitoring & on-call
Quarterly eval refresh
Drift, cost & safety reporting
Roadmap iteration
Get run mode →
Engage VEXOCORE AI

Ship an AI system you'd run yourself.

90 days from kickoff to a measurable system in production.